create tensors on device

core/corr.py

@@ -34,9 +34,9 @@ def __call__(self, coords):
         out_pyramid = []
         for i in range(self.num_levels):
             corr = self.corr_pyramid[i]
-            dx = torch.linspace(-r, r, 2*r+1)
-            dy = torch.linspace(-r, r, 2*r+1)
-            delta = torch.stack(torch.meshgrid(dy, dx), axis=-1).to(coords.device)
+            dx = torch.linspace(-r, r, 2*r+1, device=coords.device)
+            dy = torch.linspace(-r, r, 2*r+1, device=coords.device)
+            delta = torch.stack(torch.meshgrid(dy, dx), axis=-1)
 
             centroid_lvl = coords.reshape(batch*h1*w1, 1, 1, 2) / 2**i
             delta_lvl = delta.view(1, 2*r+1, 2*r+1, 2)

core/raft.py

@@ -63,8 +63,8 @@ def freeze_bn(self):
     def initialize_flow(self, img):
         """ Flow is represented as difference between two coordinate grids flow = coords1 - coords0"""
         N, C, H, W = img.shape
-        coords0 = coords_grid(N, H//8, W//8).to(img.device)
-        coords1 = coords_grid(N, H//8, W//8).to(img.device)
+        coords0 = coords_grid(N, H//8, W//8, device=img.device)
+        coords1 = coords_grid(N, H//8, W//8, device=img.device)
 
         # optical flow computed as difference: flow = coords1 - coords0
         return coords0, coords1